Moonshot AI: Kimi K2 Thinking

Public pricingIntelligence 81/100Large memoryDiep redenerenToolgebruik

MoonshotAI: Kimi K2 Thinking is een tekst-model voor redeneren, plannen en automatisering. Het combineert betrouwbaar toolgebruik en agentgedrag en diep redeneren en plannen, een context van 262K tokens en een evenwichtig geprijsd-profiel voor betrouwbaar werk in reasoning, planning, and multi-step automation.

Input

$0.60/1M

Output

$2.50/1M

Cached

$0.15/1M

Batch

$0.30/1M

Calculate your Kimi K2 Thinking bill.

Set your workload — see cost at your exact volume.

What would Kimi K2 Thinking cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Kimi K2 Thinking at a glance.

Memory

262,144

tokens

Max reply

262,144

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Nov 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    41

  • frontiermath_tier_4

    0

  • gpqa_diamond

    84.22

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Kimi K2 Thinking

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Kimi K2 Thinking — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Kimi K2 Thinking costs roughly $145 per month. Input is $0.60 /1M tokens and output is $2.50 /1M tokens.
Kimi K2 Thinking has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Kimi K2 Thinking supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
Kimi K2 Thinking was released in November 2025, with training data cut off around July 2025.
Models in a similar class include Kimi K2.5, Gemini 3 Flash Preview, GPT-5.4 Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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